American Express (AXP) EBITDA (2010 - 2026)
American Express' EBITDA came in at $6.52 billion for Q2 2026, up 7.6% from $6.05 billion a year earlier and up 4.8% from the prior quarter.
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Analysis
American Express (AXP) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, American Express reported EBITDA of $24.76 billion, up 8.6% year-over-year; for FY2025, it came in at $23.81 billion, up 4.3% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $22.82 billion in FY2024 (+20.0%), $19.01 billion in FY2023 (+36.1%), $13.97 billion in FY2022 (+2.2%) and $13.67 billion in FY2021 (+72.2%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2010.
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2023 (growth of 45.2%), and the weakest in Q1 2022 (a decline of 9.2%).
- Business Quant data shows AXP's EBITDA at $6.22 billion (Q1 2026), $5.61 billion (Q4 2025) and $6.41 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 885.23 Bn | 914.70 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 404.41 Bn | 524.35 Bn | - | 279.77 Bn |
| 3 | Bank Of America | 381.15 Bn | -1,994.92 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 319.39 Bn | 319.44 Bn | - | - |
| 5 | Morgan Stanley | 298.67 Bn | -210.43 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 268.75 Bn | -557.52 Bn | - | 18.60 Bn |
| 7 | Mitsubishi Ufj Financial | 265.72 Bn | -107.91 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.04 Bn | -3,296.07 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 253.09 Bn | 255.22 Bn | - | 20.89 Bn |
| 10 | American Express | 208.01 Bn | -160.24 Mn | - | 6.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.52 Bn |
| Mar 31, 2026 | 6.22 Bn |
| Dec 31, 2025 | 5.61 Bn |
| Sep 30, 2025 | 6.41 Bn |
| Jun 30, 2025 | 6.05 Bn |
| Mar 31, 2025 | 5.73 Bn |
| Dec 31, 2024 | 5.22 Bn |
| Sep 30, 2024 | 5.78 Bn |
| Jun 30, 2024 | 6.28 Bn |
| Mar 31, 2024 | 5.54 Bn |
| Dec 31, 2023 | 4.88 Bn |
| Sep 30, 2023 | 5.33 Bn |
| Jun 30, 2023 | 4.80 Bn |
| Mar 31, 2023 | 4.00 Bn |
| Dec 31, 2022 | 3.50 Bn |
| Sep 30, 2022 | 3.67 Bn |
| Jun 30, 2022 | 3.38 Bn |
| Mar 31, 2022 | 3.43 Bn |
| Dec 31, 2021 | 3.02 Bn |
| Sep 30, 2021 | 3.20 Bn |
API Access
American Express EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=AXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AXP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=AXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();